GBD

GBD Data Visualizations

Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks and explore patterns and trends by age and sex. Drill from a national view into specific details. Compare expected and observed trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.

Analyze updated data about the world’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks within a country, compare countries with regions or the world, and explore patterns and trends by country, age, and gender. Drill from a global view into specific details. Compare expected and observed trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.

How do input data become GBD estimates? Walk through the estimation process for mortality trends for children and adults for 195 countries and territories using the revamped Mortality visualization. See source and comparative data and step through the stages in the estimation process to reveal the final mortality estimates from 1970 to 2016.

Where do we have the best data on different health conditions? For any age group, see where various data sources have placed trends in causes of death over time. You can examine more than 200 causes in both adjusted and pre-adjusted numbers, rates, and percentages for 195 countries and territories

With this tool, users can explore progress made toward achieving the United Nations Sustainable Development Goals (SDGs). Measure progress made by 188 countries from 1990–2015 toward 33 health-related indicators, such as mortality rate due to road injuries, prevalence of intimate partner violence among women, maternal mortality ratio, and incidence rate of new HIV cases. See how countries have progressed over time. Share and download figures for later use.

With this interactive map, you can explore trends in life expectancy and mortality from 152 causes of death in King County at the census tract level. Use the settings at the top to select a measure (life expectancy, mortality rate, or years of life lost rate), year, cause of death, and sex. Use the time trend menu on the right to explore time trends for specific census tracts.

This interactive data visualization tool shows modeled trends in smoking prevalence worldwide and by country for the years 1980 to 2015. Data were derived from nationally representative sources that measured tobacco use.

How did life expectancy and probability of death change between 1990 and 2015 in 195 countries? Examine changes in life expectancy and see how causes contributed to changes in life expectancy. Explore the probability of death by cause, location, sex, and year. Analyze healthy life expectancy (HALE) by sex, location, and year.

See how China is progressing toward Millennium Development Goal 4 (MDG 4) at the subnational level by exploring and comparing province and county trends for under-5 mortality rates in China between 1996 and 2012 (counties) or 2013 (provinces). Chinese and English language options are available in this visualization tool.

Created for The Journal of the American Medical Association, this interactive data visualization tool shows estimated trends in HIV/AIDS death, incidence, and prevalence worldwide and by country for the years 1990 to 2013.

With multiple view options, the Nigeria Health Map data visualization tool drills down to state-level gains and challenges for a number of health interventions and outcomes. Results currently reflect trends from 2000 to 2013 and primarily focus on high-priority maternal and child health indicators in Nigeria.